Senior Consultant (Databricks)

Unison Group; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Unison Group is seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks in the San Francisco area. The role emphasizes data engineering, cloud technologies, ETL development, and big data processing to support analytics, AI, and business intelligence initiatives.

The candidate will design scalable data pipelines, implement Delta Lake architectures, and mentor peers.

Qualifications

• Extensive experience designing data platforms on Databricks.
• Proficient in building scalable DS pipelines and ETL/ELT processes.
• Strong knowledge of cloud platforms and data security.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows with PySpark and Spark SQL.
• Develop and manage Delta Lake architecture for reliable data processing.
• Integrate data from databases, APIs, streaming platforms, and cloud storage.
• Collaborate with stakeholders to understand business requirements.
• Optimize Spark jobs for performance, scale, and cost efficiency.
• Implement data quality, governance, and security best practices.
• Monitor production workloads and troubleshoot performance issues.
• Automate deployment using CI/CD pipelines.
• Mentor junior team members and provide technical guidance.

Skills

Databricks Platform

Apache Spark

PySpark

Spark SQL

Delta Lake

Unity Catalog

Databricks Workflows

AWS

Azure

GCP

SQL

CI/CD / DevOps

Tools

Git

Azure Data Factory

Apache Airflow

Databricks CLI

Python

Job description

Job Summary

We are seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate with cross-functional teams to build scalable, secure, and high-performance data solutions that support analytics, AI, and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
• Develop and manage Delta Lake architecture for reliable and efficient data processing.
• Integrate data from multiple sources including databases, APIs, streaming platforms, and cloud storage.
• Collaborate with business stakeholders, data analysts, and data scientists to understand business requirements.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality, governance, and security best practices.
• Monitor production workloads and troubleshoot performance issues.
• Automate deployment processes using CI/CD pipelines.
• Mentor junior team members and provide technical guidance during project delivery.

Required Skills

• Strong experience with Databricks Platform.
• Hands-on expertise in Apache Spark, PySpark, and Spark SQL.
• Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
• Strong SQL programming and data modeling skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience working with data lakes, data warehouses, and modern data architectures.
• Knowledge of orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
• Experience with version control tools such as Git.
• Understanding of CI/CD practices and DevOps concepts.
• Excellent analytical, troubleshooting, and problem-solving skills.